// MLOps & Data Engineering

I build
data pipelines
& AI infra
at scale.

Spark, Kafka, AWS, GCP and LLMs in production.
From raw ingestion to models serving real customers.

View Projects Get in Touch
Apache Spark · Apache Kafka · AWS · GCP · Apache Airflow · Glue · BigQuery · Python · Scala · Docker · MLOps · LLMs · DynamoDB · SageMaker · CI/CD · Apache Spark · Apache Kafka · AWS · GCP · Apache Airflow · Glue · BigQuery · Python · Scala · Docker · MLOps · LLMs · DynamoDB · SageMaker · CI/CD ·

7+

years of experience

~900 TB

data lake

80M

customers reached

4.5B

rows processed

// Who I am

MLOps &
Data Engineering

MLOps Engineer at Housecall Pro (US, remote) and Data Engineer with 7 years of experience building and operating large-scale data platforms (~900 TB) on AWS and GCP. Previously, as a Tech Lead, I led a squad of 5 to 8 data engineers at a multinational insurance company, combining hands-on technical leadership with solution architecture.

I've delivered solutions in credit scoring, telecom (a carrier with ~80 million customers), retail, and insurance — from CDC pipelines with Kafka and distributed Spark ETLs to ML model and LLM productionization. I started my career as a researcher, first author of a deep learning paper published at IEEE ICIP 2018.

More About Me →

// Featured Project

AI
Orchestrator

FastAPI Redis RAG Docker EC2

A distributed job orchestrator born from a research study and turned into a product: asynchronous workers run a RAG pipeline over PDF documents, coordinated by a FastAPI REST API with Redis as state store and job queue. Containerized with Docker and managed by systemd on AWS EC2.

See All Projects →

// Contact

Let's work
together.

Have a project that needs data infrastructure or AI pipelines? I'm available for freelance and consulting work.

→ hello@thalespomari.dev → LinkedIn → GitHub

Campinas, SP, Brazil